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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering (ICDE'06)
p. 137
An Approach to Adaptive Memory Management in Data Stream Systems
Michael Cammert, University of Marburg, Germany
Jurgen Kramer, University of Marburg, Germany
Bernhard Seeger, University of Marburg, Germany
Sonny Vaupel, University of Marburg, Germany
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.17
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| Abstract |
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Adaptivity is a challenging open issue in data stream
management. In this paper, we tackle the problem of
memory adaptivity inside a system executing temporal sliding
window queries over continuous data streams. Two different
techniques to control the memory usage at runtime
are proposed which refer to changes in window sizes and
time granularities. Both techniques differ from standard
load shedding approaches based on sampling as they ensure
precise query answers for user-defined Quality of Service
(QoS) specifications, even under query re-optimization.
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 Additional Information
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Citation:
Michael Cammert, Jurgen Kramer, Bernhard Seeger, Sonny Vaupel,
"An Approach to Adaptive Memory Management in Data Stream Systems,"
icde,
p. 137,
22nd International Conference on Data Engineering (ICDE'06),
2006
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